AI-assisted grading for higher education

AI-assisted grading,
with faculty judgment at the center.

Edutecnik helps instructors evaluate assignments and exams against their own rubrics, draft personalized student feedback, and prepare classes more efficiently. AI generates suggestions; instructors review, revise, and approve.

Request access See how it works

Instructor pilot · Institutional email · No LMS required to get started

The product

Rubric-aligned AI assistance
for grading, feedback, and course preparation.

Edutecnik supports the academic work around the LMS: evaluating student work against instructor-defined criteria, drafting useful feedback, preparing class, and identifying recurring patterns that may deserve faculty attention.

Evaluate with instructor-defined rubrics

A PDF, image, or pasted assignment can be evaluated against the course rubric. Edutecnik drafts a score and criterion-based comments; the instructor reviews and revises before anything is finalized.

  • Instructor-defined criteria, not a generic grading scheme
  • Draft feedback tied to specific rubric criteria
  • No grade is finalized without instructor review

Prepare teaching materials

Lesson plans, activities, and assessments can be drafted from the syllabus, PDFs, learning objectives, and other course materials supplied by the instructor.

  • Aligned with course learning outcomes
  • Grounded in instructor-provided materials
  • Ready for faculty review, revision, and use

Identify course-level patterns

Grading activity can surface recurring misconceptions, weak rubric criteria, and other patterns that may warrant closer instructor attention.

  • Patterns derived from actual assessed work
  • Human review before consequential action
  • Useful with or without an LMS connection

How it works

Four steps, with faculty review built in.

  1. 01

    Provide course materials

    Syllabi, PDFs, rubrics, assignments, and student work provide the academic context.

  2. 02

    Generate drafts

    Edutecnik produces draft scores, rubric-based feedback, teaching materials, and course-level observations.

  3. 03

    Review and revise

    The instructor reviews, edits, approves, or discards each suggestion before it becomes consequential.

  4. 04

    Use approved work

    Approved material can be copied or exported. Future LMS integrations can return approved work to existing academic systems.

Two ways to start

An LMS can extend the workflow,
but it is not required to begin.

Edutecnik can begin with course files alone. An LMS connection can later add rosters, live submissions, gradebook context, and approved write-back.

Available in the pilot

A

Start with course materials

Syllabi, PDFs, rubrics, assignments, and student work can be added directly, allowing grading and course preparation without an LMS integration.

  • Institutional email and private instructor account
  • AI-generated drafts for grading and preparation
  • Course insights derived from assessed work
Integration path

B

Connect an LMS

Systems such as Canvas can be connected through institutionally approved integration paths when the academic unit is ready.

  • Rosters, submissions, and gradebook context
  • Earlier visibility into students who may need support
  • Approved write-back to the LMS

Who it's for

Designed first for faculty,
useful across academic teams.

  • Professors and instructors

    Reduce grading and preparation workload while keeping academic judgment in faculty hands.

  • Chairs and program directors

    Review curriculum coverage, course-level signals, and outcomes without displacing instructor judgment.

  • Curriculum and assessment teams

    Connect learning outcomes, assignments, rubrics, and the evidence produced through assessment.

  • Academic administration

    Use governed, aggregated evidence to support reporting and academic decision-making.

Trust

AI assistance with academic judgment preserved.

Faculty review

Consequential academic actions require human approval. Edutecnik does not independently finalize grades or contact students.

Rubric alignment

Grading suggestions are organized around instructor-defined criteria rather than a generic grading standard.

Transparency

AI-generated material is presented as draft output for instructor review and revision.

Traceability

Suggestions, edits, and decisions can be recorded to support academic review and accountability.

Student privacy

The product is designed to minimize exposure of identifying student information when academic work is processed.

Role-based access

Instructor, chair, curriculum, and administration access can be governed according to institutional responsibilities.

Instructor pilot

Edutecnik can be evaluated with a real course.

Pilot access is available to instructors using an institutional email. Academic units may also contact Edutecnik regarding rubric-aligned AI assistance, course preparation, and future LMS integration.

Request access Contact Edutecnik

Email: hola@edutecnik.com